Integration of cognitive and visual systems in digital management

Aim. The work aimed to understand comprehensively the mechanisms for integrating cognitive and visual technologies in the context of digital management, as well as to study the transformation of management practices in the fields of economics, healthcare, education, and public administration, through the synergy of artificial intelligence and computer vision.

Objectives. The work seeks to clarify the conceptual framework, systematize, and analyze modern cases of implementing cognitive-visual solutions; identify management effects and obstacles to their application; and develop recommendations for improving the effectiveness of such integrations in practice.

Methods. The study methodological basis includes an analysis of Russian and international scientific and analytical literature for 2018–2025, a study of regulatory and strategic documents, and a comparison of Russian and international experience. A case study approach was used to assess the impact of integrating cognitive and visual systems on process efficiency, decisionmaking accuracy, and service quality.

Results. The results demonstrate that the use of cognitive and visual technologies significantly increases the efficiency of business processes, improves the accuracy and speed of diagnostic procedures in healthcare, enhances analytical capabilities in the economy, and facilitates the personalization of educational practices. Common barriers to implementation were also identified. These include a lack of high-quality labeled data, the need to modernize IT infrastructure, a shortage of qualified personnel, resistance to organizational change, and the lack of regulation of the ethical and legal aspects of using AI and visual data.

Conclusions. Based on the analysis, it was concluded that the integration of cognitive and visual systems is not a temporary technological trend, but rather the sustainable development of a new management paradigm. In this paradigm, machine intelligence and visual perception collaborate closely with humans who act as interpreters, controllers, and strategic supervisors. The potential of these technologies consists in providing a sustainable competitive advantage for individual organizations and countries as a whole in the digital economy, with a comprehensive and ethically sound approach to their implementation.

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